IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Anneli Löfstedt , Bernhard Scheliga , Magaly Aceves-Martins , Baukje de Roos
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引用次数: 0

摘要

在此,我们利用从公开数据集收集到的数据,从高分辨率的角度介绍了 2009 年至 2020 年英国海产品的供应和营养物流动情况。该数据库结合了多达 73 种海产品的生产(捕捞和水产养殖)、贸易(进口和出口)、采购和消费的二手数据。每个物种的营养成分(蛋白质、欧米茄-3 脂肪酸、维生素 D、维生素 A、维生素 B12、钙、碘、铁、硒和锌)也包括在内。由于二手数据来自不同的数据源,因此对这些数据进行了统一,以便有效地将数据联系起来。海产品被分为瘦肉型、油脂型和贝类,以便与英国膳食指南进行比较,并根据粮食及农业组织的 "水生动植物国际标准统计分类 "划分了物种类型。由于我们的海产品数据库具有整合性,它为用户提供了一个独特的机会,使他们能够从物种层面对整个英国海产品供应链十年来的数据进行查询,从而了解海产品的生产和最终消费情况。该数据库的应用在一篇题为 "海产品供应图揭示了英国生产和消费的不匹配以及通过出口造成的大量膳食营养损失 "的原创研究文章中进行了描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Public database mapping UK seafood supplies and nutrients
Here we present a high-resolution perspective on United Kingdom (UK) seafood supplies and nutrient flows between 2009 and 2020 with data collected from publicly available datasets. The database combines secondary data on production (capture and aquaculture), trade (import and export), purchases, and consumption, for up to 73 seafood species. The nutritional composition (protein, omega-3 fatty acids, vitamin D, vitamin A, vitamin B12, calcium, iodine, iron, selenium, and zinc) for each species are also included. As the secondary data was obtained from different data sources, they were harmonised to efficiently link the data. Seafood species were categorised as lean, oily, and shellfish, to allow comparisons with UK dietary guidelines, and were assigned a species type according to the Food and Agricultural Organisation 'International Standard Statistical Classification for Aquatic Animals and Plants' classification. By the virtue of the integrated nature of our seafood database, it provides a unique opportunity for users to interrogate the entire UK seafood supply chain, at a species level, over a decade worth of data, allowing users to understand what seafood is being produced and ultimately consumed. The application of this database is described in an original research article entitled “Seafood supply mapping reveals production and consumption mismatches and large dietary nutrient losses through exports in the United Kingdom”.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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